Use of more data.
To increase the amount of train data, we created pairs of data from the FashionGen [1]} and the Fashion200K [2]} dataset and merged them into original Fashion-IQ pairs. Despite the train data increase, the single model performance was degraded tested on the Fashion-IQ validation set. However, we found that the ensemble result could be improved with model training on a different condition because of the model diversity.
